Search the Dagstuhl Website
Looking for information on the websites of the individual seminars? - Then please:
Not found what you are looking for? - Some of our services have separate websites, each with its own search option. Please check the following list:
Schloss Dagstuhl - LZI - Logo
Schloss Dagstuhl Services
Within this website:
External resources:
  • DOOR (for registering your stay at Dagstuhl)
  • DOSA (for proposing future Dagstuhl Seminars or Dagstuhl Perspectives Workshops)
Within this website:
External resources:
Within this website:
External resources:
  • the dblp Computer Science Bibliography

Dagstuhl Seminar 06501

Practical Approaches to Multi-Objective Optimization

( Dec 10 – Dec 15, 2006 )

(Click in the middle of the image to enlarge)

Please use the following short url to reference this page:



One can say that there are two communities dealing with multiobjective optimization problems: MCDM (multiple criteria decision making) and EMO (evolutionary multiobjective optimization) communities and they have remained rather isolated from each other during the years: they have their own conferences, journals, etc. This was the starting point and motivation of the First Dagstuhl Seminar on Practical Approaches to Multi-Objective Optimization which was organized in November 2004 (see for the seminar and for the proceedings). The organizers were Juergen Branke (University of Karlsruhe, Germany), Kalyanmoy Deb (IIT Kanpur, India), Kaisa Miettinen (Helsinki School of Economics, Finland) and Ralph E. Steuer (University of Georgia, USA).

During the First Dagstuhl Seminar, two aspects clearly emerged and were unanimously agreed by all the participants. Firstly, getting both MCDM and EMO researchers and applicationists together in one seminar for five days and in a Dagstuhl environment was beneficial to both groups in terms of understanding each other's approaches better and fostering collaboration. Secondly, all the participants thought that it was a good starting event, but there was an urgent need for the two groups to arrange more such extended meetings to continue the interactions. For these reasons, the Second Dagstuhl Seminar was organized in December 2006.

In the Second Dagstuhl Seminar on Practical Approaches to Multi-Objective Optimization, about 80 researchers were invited, about 40 from the MCDM and 40 from the EMO community and, in all, about 50 researchers were able to attend the seminar. The organizers of the Second Dagstuhl Seminar were the same as in the First Seminar with the exception that Roman Slowinski (Poznan University, Poland) replaced Ralph E. Steuer.

In connection with the Second Dagstuhl Seminar, we (the organizers) decided to initiate an ambitions project of writing a book covering both MCDM and EMO approaches and their hybridization possibilities.

We believe that this book has the potential to become a key reference and inspiration for the growing community dealing with the challenges of multiobjective optimization. To start with, some of the world's best experts from both communities were invited to write chapters for the book, for example, about different approaches in MCDM and EMO and how their benefits can be but together in order to get new hybrid methods. Special attention was paid to interactive methods and methods utilizing preference information because many EMO approaches have lacked these properties until recently. The contents of the chapters were discussed in the seminar in order not to miss any important topics and, also to avoid overlaps. Besides talks devoted to book chapters, the seminar program consisted of talks on recent research trends. In addition, an important part of the seminar was active work in working groups.

The topics of the working groups were: real-world applications of multiobjective optimization, software, quality of Pareto set approximations, MODM ~V a learning perspective, parallel approaches for multiobjective optimization, and future challenges. Besides the invited chapters, a book chapter will be prepared based on the work of each working group.

The title of the book was decided to be Multiobjective Optimization:

Interactive and Evolutionary Approaches and it will be published by Springer in the LNCS Series as a LNCS State-of-the-Art Survey.

On behalf of all the organizers, I would like to thank the participants for active discussions and attendance as well as for a very positive attitude towards the book project.

  • Oliver Bandte (Icosystem, US)
  • Valerie Belton (Strathclyde Business School, GB)
  • Jerzy Blaszczynski (Poznan University of Technology, PL) [dblp]
  • Jürgen Branke (KIT - Karlsruher Institut für Technologie, DE) [dblp]
  • Heinrich Braun (SAP SE - Walldorf, DE) [dblp]
  • Nirupam Chakraborti (Indian Institut of Technology - Kharagpur, IN)
  • Carlos A. Coello Coello (CINVESTAV - Mexico, MX) [dblp]
  • Kalyanmoy Deb (Indian Inst. of Technology - Kanpur, IN) [dblp]
  • Matthias Ehrgott (Univ. of Auckland, NZ) [dblp]
  • Petri Eskelinen (Helsinki School of Economics, FI)
  • Marco Farina (STMicroelectronics, IT)
  • José Rui Figueira (IST - TU of Lisbon, PT) [dblp]
  • Jörg Fliege (University of Birmingham, GB) [dblp]
  • Carlos M. Fonseca (University of Algarve, PT) [dblp]
  • Pablo Funes (Icosystem, US)
  • Salvatore Greco (Università di Catania, IT) [dblp]
  • Peter Gritzmann (TU München, DE)
  • Jutta Huhse-Merz (Schloss Dagstuhl, DE)
  • Christian Igel (Ruhr-Universität Bochum, DE) [dblp]
  • Hisao Ishibuchi (Osaka Prefecture University, JP) [dblp]
  • Johannes Jahn (Universität Erlangen-Nürnberg, DE) [dblp]
  • Andrzej Jaszkiewicz (Poznan University of Technology, PL) [dblp]
  • Yaochu Jin (Honda Research Europe - Offenbach, DE) [dblp]
  • Joshua D. Knowles (Univ. of Manchester, GB) [dblp]
  • Pekka Korhonen (Helsinki School of Economics, FI) [dblp]
  • Alexander V. Lotov (Dorodnicyn Computing Center - Moscow, RU)
  • Kaisa Miettinen (Helsinki School of Economics, FI) [dblp]
  • Julian Molina Luque (Universidad de Malaga, ES)
  • Sanaz Mostaghim (KIT - Karlsruher Institut für Technologie, DE) [dblp]
  • Vincent Mousseau (University Paris-Dauphine, FR) [dblp]
  • Hirotaka Nakayama (Konan University - Kobe, JP)
  • Wlodek Ogryczak (Warsaw Univ. of Technology, PL)
  • Tatsuya Okabe (Honda Research - Saitama, JP)
  • Andrzej Osyczka (AGH - Krakow, PL)
  • Silvia Poles (ESTECO - Trieste, IT) [dblp]
  • Günter Rudolph (Universität Dortmund, DE) [dblp]
  • Francisco Ruiz (Univ. of Manchester, GB) [dblp]
  • Daisuke Sasaki (University of Cambridge, GB)
  • Serpil Sayin (Koc University - Istanbul, TR) [dblp]
  • Koji Shimoyama (Tohoku University, JP)
  • Roman Slowinski (Poznan University of Technology, PL) [dblp]
  • Theodor J. Stewart (University of Cape Town, ZA) [dblp]
  • El-ghazali Talbi (University of Lille I, FR) [dblp]
  • Lothar Thiele (ETH Zürich, CH) [dblp]
  • Mariana Vassileva (Bulgarian Academy of Sciences, BG)
  • Rudolf Vetschera (Universität Wien, AT)
  • Jyrki Wallenius (Helsinki School of Economics, FI) [dblp]
  • Ingo Wegener (TU Dortmund, DE)
  • Andrzej Wierzbicki (JAIST - Ishikawa, JP)
  • Eckart Zitzler (ETH Zürich, CH)

Related Seminars
  • Dagstuhl Seminar 04461: Practical Approaches to Multi-Objective Optimization (2004-11-07 - 2004-11-12) (Details)
  • Dagstuhl Seminar 09041: Hybrid and Robust Approaches to Multiobjective Optimization (2009-01-18 - 2009-01-23) (Details)
  • Dagstuhl Seminar 12041: Learning in Multiobjective Optimization (2012-01-22 - 2012-01-27) (Details)
  • Dagstuhl Seminar 15031: Understanding Complexity in Multiobjective Optimization (2015-01-11 - 2015-01-16) (Details)
  • Dagstuhl Seminar 18031: Personalized Multiobjective Optimization: An Analytics Perspective (2018-01-14 - 2018-01-19) (Details)
  • Dagstuhl Seminar 20031: Scalability in Multiobjective Optimization (2020-01-12 - 2020-01-17) (Details)
  • Dagstuhl Seminar 23361: Multiobjective Optimization on a Budget (2023-09-03 - 2023-09-08) (Details)

  • artificial intelligence optimization soft computing

  • Multi-criteria optimization
  • evolutionary and classical methods
  • interaction